rate-limiting

Implement token bucket or sliding window rate limiting with HTTP status codes.

4|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/Heldinhow/awesome-opencode-dev-skills --skill rate-limiting-heldinhow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rate-limiting
Source: https://github.com/Heldinhow/awesome-opencode-dev-skills/tree/main/rate-limiting
Command: npx skills add https://github.com/Heldinhow/awesome-opencode-dev-skills --skill rate-limiting-heldinhow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents API abuse and ensures fair usage by controlling the number of requests a client can make within a specific time frame, protecting backend services from overload.

Core Features & Use Cases

  • Request Throttling: Implement algorithms like token bucket or sliding window to limit requests.
  • Abuse Prevention: Protect APIs from being overwhelmed by excessive or malicious traffic.
  • Fair Usage: Ensure all clients have equitable access to API resources.
  • Use Case: Protect a public API endpoint from being flooded by automated bots by limiting each IP address to 100 requests per minute.

Quick Start

Implement rate limiting for your API using the rate-limiting skill.

Frequently Asked Questions about rate-limiting

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement API rate limiting to prevent abuse and control request frequency?

API rate limiting controls request frequency by applying algorithms like token bucket or sliding window to throttle traffic, preventing backend overload and ensuring fair resource usage among clients.

What is the best way to protect a public API endpoint from being flooded by automated bots?

The best way to protect public API endpoints from bot flooding is implementing request throttling to enforce granular limits, such as restricting each IP address to a specific number of requests per minute.

How does request throttling handle clients that exceed defined API limits?

Request throttling handles excessive traffic by rejecting requests that exceed defined limits, returning standard HTTP status codes to properly communicate the throttled state back to the client application.

Do I need rate limiting to ensure fair usage among clients accessing my web API?

You need rate limiting to ensure fair usage among clients by controlling the number of requests each client can make within a specific time frame, preventing any single user from monopolizing API resources.

Can I use token bucket or sliding window algorithms for API abuse prevention?

You can use token bucket or sliding window algorithms for API abuse prevention, allowing you to implement structured request throttling strategies that effectively control traffic and protect backend services from denial-of-service attacks.